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cs.LG2022★ 1 cited
Global -means: an effective relaxation of the global -means clustering algorithm
Georgios Vardakas, Aristidis Likas
The -means algorithm is a prevalent clustering method due to its simplicity, effectiveness, and speed. However, its main disadvantage is its high sensitivity to the initial posi…
cs.LG2022
A Set Membership Approach to Discovering Feature Relevance and Explaining Neural Classifier Decisions
Stavros P. Adam, Aristidis C. Likas
Neural classifiers are non linear systems providing decisions on the classes of patterns, for a given problem they have learned. The output computed by a classifier for each patter…
cs.LG2020★ 11 cited
The UU-test for Statistical Modeling of Unimodal Data
Paraskevi Chasani, Aristidis Likas
Deciding on the unimodality of a dataset is an important problem in data analysis and statistical modeling. It allows to obtain knowledge about the structure of the dataset, ie. wh…